Niamh Mulholland
Niamh Mulholland
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Ares: A framework for quantifying the resilience of deep neural networks
B Reagen, U Gupta, L Pentecost, P Whatmough, SK Lee, N Mulholland, ...
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
Applications of deep neural networks for ultra low power IoT
S Kodali, P Hansen, N Mulholland, P Whatmough, D Brooks, GY Wei
2017 IEEE International Conference on Computer Design (ICCD), 589-592, 2017
DNN ENGINE: A 16nm sub-uj deep neural network inference accelerator for the embedded masses
P Whatmough, S Lee, N Mulholland, P Hansen, S Kodali, D Brooks, ...
Hot Chips: A Symposium on High Performance Chips, 2017
A wide dynamic range sparse FC-DNN processor with multi-cycle banked SRAM read and adaptive clocking in 16nm FinFET
SK Lee, PN Whatmough, N Mulholland, P Hansen, D Brooks, GY Wei
ESSCIRC 2018-IEEE 44th European Solid State Circuits Conference (ESSCIRC …, 2018
InGaN QD Microdisks: Experimentation in Fabrication and Emission Enhancement
N Mulholland
Harvard University, 2019
Interaction of Two-Dimensional Transition Metal Dichalcogenides on Different Substrates and Nanostructures
A Greenspon, Q Ji, M Gadalla, D Wang, N Mulholland, J Kong, E Hu
APS March Meeting Abstracts 2019, E13. 001, 2019
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